-74813b3e17f460286df-514a 20220411034222448 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 06 30 2020 9 8 Department of Statistics and Actuarial Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana, PMB UPO. Sampson Twumasi-Ankrah* Wilhemina Adoma Pels Department of Statistics and Actuarial Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana. Doris Arthur Department of Statistics and Actuarial Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana. Dennis Kankam Danquah Department of Mathematical Sciences, University of Mines and Technology, Tarkwa, Ghana. Hunger is on the rise in almost all sub-regions of Africa, where the prevalence of undernourishment has reached levels of 22.8 percent in sub-Saharan Africa. Therefore, the purpose of this study is to examine the effect of economic growth and climatic factors on food security in Ghana using different functional forms of regression analysis. Annual secondary data on food security indicators, gross domestic product, CO2, rainfall and temperature spanning from 1999 to 2017 were obtained from the Food and Agricultural Organization (FAO) and World Bank websites. The principal component analysis and regression method were used to reduce the dimensionality of the variable and model the effect of economic growth and climatic factors on food security in Ghana respectively. The dimensions of food availability, stability and utilization were reduced from 5, 6 and 9 variables to 2 variables respectively. However, the dimension of food accessibility was reduced from 3 variables to 1 variable. Food Security Index (FSI) was constructed for each of the food security indicators, and competing models were fitted to the data. It was observed that, GDP has a positive effect on food accessibility, availability, stability and utilization. However, temperature negatively affects food accessibility and stability but a positive effect on food utilization. Rainfall has a negative effect on food stability and CO2 has a negative effect on food availability, stability and utilization. 06 30 2020 909 917 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7265.069820 https://www.ijitee.org/portfolio-item/B7265129219/ Assistant Professor, Department of Mechanical Engineering, Vidyavardhaka College of Engineering, Mysuru, Karnataka, India. Amruth E* Dr. Sudev l j DEAN and Professor, Department of Mechanical Engineering, Vidyavardhaka College of Engineering, Mysuru, Karnataka, India. In this study, fish oil & cottonseed oils were used to produce their individual methyl esters using a mixed base catalyst (Sodium hydroxide & di-sodium phosphate). The produced biodiesels were characterized to check the quality of biodiesel and to establish the feasibility of using the mixed base catalyst for production of biodiesels. The biodiesel was characterized by FTIR (Fourier Transform infrared spectrometry) and GC (Gas Chromatography) tests and the other important properties of biodiesel were found out and compared with that of diesel. FTIR test confirms complete conversion of biodiesel from individual oils and the fuel properties were found to be within the range prescribed in ASTM standards. GC analysis has shown presence of more unsaturated fatty acids in cottonseed oil and less in fish oil biodiesel throwing some light on the stability of the fuels. The present characterization studies has established the potential use of mixed base catalyst during transesterification reactions. 06 30 2020 668 672 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1767.069820 https://www.ijitee.org/portfolio-item/D1767029420/ Department of Computer Applications, Sri Krishna Adthiya College of Arts and Science, Coimbatore, Tamilnadu, India. Dr. K. Geetha* Thyroid disorders are common among the world wide population. This disorders posses’ significant problems among Indians. Research studies shows that nearly 32% of Indian population suffers from various thyroid disorders. This paper deals with the thyroid data set which in turn classify into three groups as hyper thyroidisim, hypothyroidism and normal. The American Thyroid Association reported twelve percent of their citizens suffer from thyroidism in which 60% population are unaware of their condtions.. Above statistics implies the classification of thyroid disorder is crucial in global perspective too. The thyroid data set are collected from UCI repository and it is multivariate type with 21 attributes. With the 21 attributes only 10 attributes are selected based on their rank. Hybrid Differential Evolution Kernel Based SVM algorithm is used to classify the data set. It takes around 30 epochs to stabilize the errors. The classification accurancy is observed to be 67.97%. 06 30 2020 638 640 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1923.069820 https://www.ijitee.org/portfolio-item/D1923029420/ Indira College of Engineering and Management, Pune, India, Sunil B Ingole* Various heat transfer and its enhancement techniques are found in literature. Many researchers have focused on such topics typically in last decade of last century. The paper deals with experimental work of the passive techniques which do not require direct application of external power, whereas the active techniques require an. Exact method and system used for research from 1964 till around 2000 is presented. A case study of twisted tape of Y as 4.2 and 5.2. It is seen that overall heat transfer coefficient is a function of Reynolds number. .It is noticed that on the tube side the flow conditions have included both laminar and turbulent flow. Graph presents shows heat transfer data for both twisted tapes. It can be seen that the overall heat transfer coefficient in general increase with increase in Reynolds number. For a given Reynolds number the overall heat transfer coefficient increase with decrease in twist ratio i.e. tape with tighter twist. Also friction factor increase with decreases in the twist ratio 1 06 30 2020 138 144 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D9080.069820 https://www.ijitee.org/portfolio-item/D9080019420/ Computer Science and Engineering, Mar Athanasius College of Engineering, Kothamangalam, Kerala, India. Alina K Jayarajan* Eldo P Elias Computer Science and Engineering, Mar Athanasius College of Engineering, Kothamangalam, Kerala, India. The emergence of social media lead to people around the world is widely using it. There are varieties of applications under this category for diverse purposes. Day by day, the security concerns related to this area is increasing since it is a medium which connect people. At present, the single access policy is present. That is whether a user can access the media content or not. Hence multi access policy can provide more user satisfaction. On the other hand video and image can be encoded into different qualities. Ciphertext Policy Attribute-Based Encryption is used for encrypting keys used in symmetric encryption. Here introducing Linear Secret Sharing Scheme (LSSS) to the scalable social media stream security. The LSSS mechanism is adopted to increase the expressiveness of the monotone access structure. By utilizing an LSS Scheme the access structure becomes more protective. This algorithm is very useful in practice as a ciphertext policy can now be intuitively expressed using a monotone Boolean formula, which has good usability, and the corresponding LSSS for an actual CP-ABE construction can then be generated accordingly using this algorithm. 06 30 2020 380 385 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2752.069820 https://www.ijitee.org/portfolio-item/E2752039520/ Research Scholar, Civil Engineering Department, K. K. Wagh Institute of Engineering Education and Research, Nashik, Affiliated to Savitribai Phule Pune University, Pune, Maharashtra State, India. Sudarshan R. Vhatkar* Dr. Pradip D. Jadhao Professor and Head, Civil Engineering Department, K. K. Wagh Institute of Engineering Education and Research, Nashik, Affiliated to Savitribai Phule Pune University, Pune, Maharashtra State, India. For seismic design requirements, the major stress dispersing components for steel plate shear walls (SPSWs) that be resistant against lateral forces are un-hardened plates infilled (webs) that bend for shear then shape the sequence with diagonal tension field actions (TFAs). The tensile load of an infill plate must be resisted through the horizontal boundary elements (HBEs) and the vertical boundary elements (VBEs) surrounding every plates by means with its capacity design point of view. If rigid connections were established for both the HBEs and the VBEs as well as among VBEs even its base (when stated with other SPSW cases), the SPSWs often gain along with moment of resistance from another boundary element with that of its lateral horizontal forces deployed. Appreciating every usefulness by their boundary frame with their overall strength in that model, through their interest as can also occur in any form of optimizing the design of the SPSW, so instead of based for their appearance to this process for the over strength with which this can supply for withstand a defined lateral forces. About the lateral design, many aspects control its reaction to light – frame shear wall: rank the encasing elements, fastener style, fastener position, keep on low tightening system, size as well as the classification with the connected structural boards, existence frame connections, aspect ratio in the wall (height of the wall and length of the wall ratio), with wall attached components. While framing products and fastener forms vary throughout Cold – Formed Steel (CFS) as well as wood – frame shear wall mechanisms, a whole responds for those mechanisms also seem to be relatively equal when they are sufficiently comprehensive to resolve the material centric limit states. The steel plate shear wall (SPSW) arrangement seems to be recognized just like most among any simplest efficient ways for resistance of the lateral forces, specifically through seismic activity, the loads are adapted on the model. This comprises along with one steel plate infilled attached through an enclosed system throughout horizontal beams and vertical columns for the movement of lateral forces to the base of the foundation. Steel plate shear walls (SPSWs) column in mid – rise along with high – rise constructions typically needs an outsized compression capability, because it bear either an axial forces with gravitational forces of lateral forces and imposed by the moment of overturning. In order to ensure the effective usage with steel inward the plate infilled, and even will attain goodness as a whole earthquake output on that wall, that formed tension field need to have relatively consistent, requiring suitable anchoring by effective accompanying members of the frame. The lateral fore on the steel plate shear wall (SPSW) is determined by using American code. 06 30 2020 870 874 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2959.069820 https://www.ijitee.org/portfolio-item/E2959039520/ PG Research Student in SKN Sinhgad College of Engineering, Pandharpur Dist. Solapur, State.-Maharashtra, (India) Mr. S. S. Jadhav* Prof. S. S. Kadam Asst. Professor, Civil Engineering Department , SKN Sinhgad College of Engineering, Pandharpur Dist. Solapur, State.-Maharashtra, (India) In this experimental studies effect on the Properties of concrete by using Silica fume and steel fibre is investigated, the combined effect of silica fume and steel fibre to be determined. The purpose of this work is to obtain a more flexural strength of concrete produced by using both silica fume and steel fibre. Steel fibres with aspect ratio of 80 were used in the experiments. [1] Addition different percentage of steel fibre and different percentage silica fume by weight of cement content. The slump cone method is used to determine workability [2]. Compressive and Flexural strength test were made on hardened concrete specimens. Plain concrete pavements have low flexural strength and strain capacity;By using fibre structural characteristics are improved and also allows reduction of the thickness of the pavement layer. These better properties are considerable and controlled by characteristics of fibre and percentage. The major effect of fibre reinforcement is to delay and prevent from cracking of concrete. This is will reduces the thickness of pavement which is responsible for less maintenance and provides durability. Brittleness of concrete reduced by addition of steel fibre and Silica fume increases the density of concrete. Failure by using steel fibre and silica fume is ductile in nature and without steel fibre and silica fume brittle in nature [2]. 06 30 2020 352 356 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2962.069820 https://www.ijitee.org/portfolio-item/E2962039520/ Research Scholar, Professor, P.hd Madhav University Khushbu* Dr. R.K Bathla Research Scholar, Professor, P.hd Madhav University The security of the data which is transferred from source to destination is of prime importance in the mobile ad hoc network (MANET) or any kind of network to be very precise. If the data gets lost then the entire purpose of deploying and creating the network fails. Mobile ad hoc networks suffer from various attacks out of which black hole attack is considered the most dangerous one because in this attack the venomous node release all the packets received by it. The authors in EAODV has used the concept of fake route request packets to identify the black hole nodes in the grid. The proposed technique detects the malicious black hole node using the sequence numbers. The performance of the network has been examined based on end to end delay, packet delivery ratio, detection time, throughput and remaining energy. These parameters have shown improvement over the existing scheme. 06 30 2020 513 517 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3073.069820 https://www.ijitee.org/portfolio-item/F3073049620/ Doctor of Chemical Sciences, Professor.Institute of General and Inorganic Chemistry of the Academy of Sciences of the Republic of Uzbekistan (IHEC of the Academy of Sciences of the Republic of Uzbekistan), Head of the Laboratory of Chemistry of Silicates. Zulaikho Raimovna Kadyrova* Purkhanatdinov Aman Purkhanatdinovich (PhD) student. Karakalpak state university. Nukus. Republic of Uzbekistan. Niyazova Shakhista Mansuralievna (PhD) student of the Institute of General and Inorganic Chemistry of the Academy of Sciences of the Republic of Uzbekistan. The article presents the results of a comprehensive study of bentonite clays of the North Jamansay deposit of Karakalpakstan for the production of ceramic heat-insulating materials. The possibility of using this bentonite clay as a result of studying their chemical and mineralogical, fractional compositions and physico-chemical characteristics for ceramic heat-insulating materials for various purposes has been established. 06 30 2020 417 420 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3821.069820 https://www.ijitee.org/portfolio-item/F3821049620/ Department of Electronics and Communication Engineering, RMK College of Engineering and Technology, Puduvoyal, Tamil Nadu, India. Jasmine Vijithra A* Deepeka B Department of Electronics and Communication Engineering, RMK College of Engineering and Technology, Puduvoyal, Tamil Nadu, India. Sri Vaishnavi E Department of Electronics and Communication Engineering, RMK College of Engineering and Technology, Puduvoyal, Tamil Nadu, India. Srivani K Department of Electronics and Communication Engineering, RMK College of Engineering and Technology, Puduvoyal, Tamil Nadu, India. Gattu Bindhu Department of Electronics and Communication Engineering, RMK College of Engineering and Technology, Puduvoyal, Tamil Nadu, India. The suggested system utilizes an inverted F metal zipper to act as an antenna. Here we have proposed an antenna which is designed using HFSS software in order to assure safety of women. The antenna design is carried out in three layers namely Ground plane, substrate and patch. Copper is used as ground and patch and substrate is made of FR4 material. The feeding point is identified at the bottom of the zipper, nearby one of the teeth. Simulations and measurements are made with HFSS. Changes in the radiations styles and the reflections coefficients happens when there is any disturbance in the teeth. The zipper constantly remains closed. The antenna will function even if the zipper is partially opened or closed. The suggested model remains as reconfigurable, particularly for radiation styles and also possess high gain value. The measured values give proper results based on simulations in terms of matching functionalities and radiation properties for the designed zipper, which acts as a good wireless product for women safety. This antenna design can be used in various applications when it is interfaced with some embedded system devices like GPS in order to find the location of the affected person and the material onto which it is going to be placed can also be made flexible that is, it can be used as Zip in dress material, hand bag, or can also be worn as an ornament. 06 30 2020 1 4 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4359.069820 https://www.ijitee.org/portfolio-item/F4359049620/ IT department, UBTUIT, Urgench, Uzbekistan. Xudayberganov T.R.* Yusupov F. PI department, UBTUIT, Urgench, Uzbekistan. Shomuratova I.I. IT department, UBTUIT, Urgench, Uzbekistan. Allaberganova M.R. IT department, UBTUIT, Urgench, Uzbekistan. The purpose of the study was to examine a set of tools of 3Ds MAX that allow working with 3D graphics and animation. To do this, we investigated the lighting methods in modeling, allowing us to create models of different complexity. The article discusses global illumination, with which you can create particle simulations with simulated real world effects, create and break bonds between particles, and collide particles with each other and with other objects. 06 30 2020 207 209 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4410.069820 https://www.ijitee.org/portfolio-item/F4410049620/ Department of Computer Engineering, Pune Institute of Computer Technology, Pune, India. Rahul Nandgave* Dr. A. R. Buchade Department of Computer Engineering, Pune Institute of Computer Technology, Pune, India. Large Organizations have to make use of various storage devices like HDD and SDD to provide storage of information of their clients as well as themselves. These Storage devices are present in large numbers and are the basic building blocks that are used to store information and in case of failure occurs then replacing these devices can halt some services which can cause loss to the Organization in terms of money and time as well. To remediate this we can monitor each of the storage devices, as these storage devices come with a SMART (Self Monitoring and Reporting Technology) system that monitors and reports the stats back to the user. Thus with the help of these SMART Parameters we can train a machine learning model to predict if the hard disk will experience failure in the near future or not. In this study we did a survey of various techniques are based on various machine learning models and provide a brief overview of each of the techniques. Among these techniques we find that random forest and deep learning methods provide better results than the other methods discussed in various studies. 06 30 2020 386 388 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4640.069820 https://www.ijitee.org/portfolio-item/F4640049620/ Assistant Professor, Department of Electronics and Communication Engineering,R.M.K. College of Engineering and Technology, Anna University, Chennai, India. K. Kannan* P.Surya Kumar Department of Electronics and Communication Engineering ,R.M.K. College of Engineering and Technology, Anna University, Chennai, India. V.Praveen kumar Department of Electronics and Communication Engineering ,R.M.K. College of Engineering and Technology, Anna University, Chennai, India. V. Purushothaman Department of Electronics and Communication Engineering, R.M.K. College of Engineering and Technology, Anna University, Chennai. D. Ramanand Department of Electronics and Communication Engineering, R.M.K. College of Engineering and Technology, Anna University, Chennai, India. Vehicular Ad Hoc Network (VANET) is a type of Mobile Ad-Hoc Network or MANET which gives correspondence among vehicles and among vehicles and street side base stations. A vehicle in VANET is viewed as a savvy portable hub fit for speaking with its neighbors and different vehicles in the system. VANET is unique in relation to MANET because of high portability of hubs and the huge size of systems. Secure transmission and protection of data are the important constraint for structuring a VANET. Since there are many proposed work for improving protections in VANET, however secure transmission despite everything stays a sensitive research field. The primary destination of our work is to enhance the security concerns in vehicular networks. The fundamental endeavors were centered on the potential applications, potential assaults, secure prerequisites and the writing perusal. The long haul objective of this venture is to concoct a altogether new arrangement that can be executed in structuring a vehicular network. 06 30 2020 311 315 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4809.069820 https://www.ijitee.org/portfolio-item/F4809049620/ Assistant Professor, Department of Electronics and Communication Engineering, PA College of Engineering, Mangaluru, India. Sowmya K B* Sagar T Department of Electronics and Communication Engineering, PA College of Engineering, Mangaluru, India. N. R Pavan Santosh Department of Electronics and Communication Engineering, PA College of Engineering, Mangaluru, India. Every second heart attack patient in India takes 7 hours to reach a hospital, which is almost 14 times more than the ideal time within which a heart patient should be treated that is 30 minutes, government data shows.A two-year data from the ongoing Management of Acute Coronary Event (MACE) Registry of the Indian Council of Medical Research (ICMR) shows at some places it even takes 15 hours. A lot of precious time is still being wasted in traffic. Also some lines in the traffic junction are prone to traffic than the other lines and all the lines are held green for the same time irrespective of the density of traffic. The FPGA (Basys-3) based traffic controller sets the light green of a line if it detects ambulance (using sound sensor) in that particular line. Also if the density (determined using IR sensor) in one of the lines is high that particular line is held green for longer time. 06 30 2020 875 878 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G4875.069820 https://www.ijitee.org/portfolio-item/G4875059720/ Dept. Of Computer Science Jawahar Institute of Technology, Borawa M.P, India Mr. Vaibhav Kothari* Mr. Nitin Namdev Assistant Professor Dept. Of Computer Science Jawahar Institute of Technology, Borawa M.P, India Friend recommendation is one of a lot of accepted characteristics of amusing arrangement platforms, which recommends agnate or accustomed humans to users. The abstraction of friend recommendation originates from amusing networks such as Twitter and Facebook, which uses friends-of-friends adjustment to acclaim people. We can say users do not accomplish accompany from accidental humans but end up authoritative accompany with their friends’ friends. The absolute methods accept attenuated ambit of recommendation and are beneath efficient. Here in our proposed access, we are applying an added hierarchical clustering technique with the collaborative clarification advocacy algorithm as well the Principle Component Analysis (PCA) adjustment is activated for abbreviation the ambit of abstracts to get added accurateness in the results. The hierarchical clustering will accommodate added allowances of the clustering technique over the dataset, and the PCA will adviseredefining the dataset by abbreviating the ambit of the dataset as required. By implementing the above appearance of these two techniques on the acceptable collaborative clarification advocacy algorithm, the above apparatus acclimated for recommendations can be improved. 06 30 2020 5 8 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5139.069820 https://www.ijitee.org/portfolio-item/G5139059720/ (Associate Professor), Dept. Of CSE ,Sri Krishna College Of Engineering And Technology, Coimbatore, India. T.Latha Maheswari* S. Anumitha Dept. Of CSE ,Sri Krishna College Of Engineering And Technology, Coimbatore, India. R. Ajeetha Dept. Of CSE ,Sri Krishna College Of Engineering And Technology, Coimbatore, India. In this paper, we are discussing about a heart disease called Arrhythmia and how it can be identified using the Electrocardiogram. Electrocardiogram (ECG) is a graphical form for electrical activity of cardiac muscle. A healthy human heart beats, 72 times per minute under normal conditions. For every heartbeat the cardiac muscle undergoes specific electrical activity which identifies the pattern in the ECG signal. It consists of PQRST wave which represents heart functions. The patterns of the ECG signal change due to the abnormalities in the heartbeat. The abnormality in the ECG is called Arrhythmia. 06 30 2020 421 424 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G3367.069820 https://www.ijitee.org/portfolio-item/G5367059720/ PhD in technical sciences, Z. Aldamzhar Kostanay Social and Technical University, Kostanay, Kazakhstan. Baimuhamedov M. F.* Zhikeyev A.A. PhD in technical sciences, PhD in technical sciences, head of the Distant Learning Institute of A.Baitursynov Kostanay State University, Kostanay, Kazakhstan. Bulaev A.G. PhD in biological sciences, Head of the Laboratory of Chemolithotrophic Microorganisms, Research Centre of Biotechnology RAS, Russian Federation Tastemirova Zh.A. Master of Economic Sciences, Senior Lecturer, Department of Economics and Finance, A.Baitursynov Kostanay State University, Kostanay, Kazakhstan Kurmangalieva A.K. PhD in Economics, Associate Professor, Associate Professor, Department of Economics and Finance, A.Baitursynov Kostanay State University, Kostanay, Kazakhstan Bugubaeva A.U. PhD in Agricultural Sciences, Deputy Head of the Regional “Smart Center” of A.Baitursynov Kostanay State University, Kostanay, Kazakhstan. Known to date means of information protection does not have a high degree of noise immunity and reliability. This work is related to the development of a more effective way to protect the source information using a software-analytical method based on the Vigenère cipher. The best known and most widely used methods of symmetric encryption are DES and the Vigenère cipher. The Vigenère cipher is a polyalphabetic encryption method for alphabetic text by using key words. The Vigenère cipher requires a single key asked a set b of letters. These sets are signed with the repetition of the message, and then the generated sequence is added back to the plaintext on modul (the power of the alphabet). To achieve this goal we propose to use multiple iteration in which the corresponding algorithms of encryption and decryption consist of successive cycles of the same type of encryption. The developed mathematical model for block coding, as well as methods and algorithms for their decoding. Presented in a modified Vigenère algorithm with the use of a block cipher based on variation of number of iteration with shift key, allows, in contrast to the known algorithms that more reliably protect the data on the Web server. 06 30 2020 460 463 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5675.069820 https://www.ijitee.org/portfolio-item/G5675059720/ Dept. of CSE SRM KTR Chennai, India Suvain Goyal* Vaibhav Somani Dept. of CSE SRM KTR Chennai, India Mrs S. Sharanya Dept. of CSE SRM KTR Chennai, India The paper presents a Deep learning model for playing computer games with elevated level information utilizing Reinforcement learning learning. The games are activity restricted (like snakes, catcher, air-bandit and so on.). The implementation is progressive in three parts. The first part deals with a simple neural network, the second one with Deep Q network and further to increase the accuracy and speed of the algorithm, the third part consists of a model consisting of convolution neural network for image processing and giving outputs from the fully connected layers so as to estimate the probability of an action being taken based on information extracted from inputs where we apply Q-learning to determine the best possible move. The results are further analysed and compared to provide an overview of the improvements in each methods. 06 30 2020 425 430 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5698.069820 https://www.ijitee.org/portfolio-item/G5698059720/ Computer Science and Engineering, Satya Sai University of Technical and Medical Science (SSSUTMS), Sehore, Madhya Pradesh, India. K Murali Gopal* Dr. Pragnyaban Mishra Computer Science and engineering, KL University, Vijayawada, India Dr. R. P. Singh Computer Science and Engineering, Satya Sai University of Technical and Medical Science (SSSUTMS), Sehore, Madhya Pradesh, India The development of massive amount of information from any source of group at any time, wherever and from any device which is termed as Big Data. The age group of big data becomes a dangerous challenge to grip, take out and access these data is short length of time. The detection of everyday itemsets is an significant issue of data mining which helps in engendering the qualitative information for the business insight and helps for the verdict makers. For the extracting the necessary itemsets from the big data a variety of big data logical techniques has been evolved such as relationship rule mining, genetic algorithm, mechanism learning, FP-growth algorithm etc. In this paper we suggest FP-ANN algorithm to promote the FP enlargement calculation with neural networks to maintain the feed forward approach. The recommend algorithm uses the Twitter social dataset for the collection of frequent itemsets and the proportional analysis of this approach is done using the different performance measuring parameters such as Precision, Recall, F-measure, Time complexity, Computation cost and time. The simulation of proposed work is done using the JDK, JavaBeans, and Wamp server software. The experimental results of projected algorithm gives better results in deference of time difficulty, computation cost and time also. It also gives enhanced results for the Precision, recall and F-measure. 06 30 2020 1033 1040 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5712.069820 https://www.ijitee.org/portfolio-item/G5712059720/ Electronics & Telecommunication department, GHRIET, Pune, India. B. Prathiba* Sarika R Khope Electronics & Telecommunication department, GHRIET, Pune, India. Dr. N.B. Hulle Electronics & Telecommunication department, GHRIET, Pune, India. Wireless sensor networks (WSN) are the current direction to monitor the resources and processes by developing fault tolerant distributed auto configure systems. High reliability is required to use WSN in safety systems, real time monitoring systems, guard systems and industrial control for all levels of the OSI model. To eliminate the noise and to process the information parallel by extending the signal spectrum using FHSS and Residue number system (RNS) based transformation. These approaches increase the reliability of data transmission in a WSN physical layer only. It is essential to have reliable data transmission in the network layer. When network topology is modified, packet loss is caused by overload and emergency or inaccessibility of units. Delay time increases because of packet retransmission. These considerations have led us to propose to work on “Performance studies on RNS based spread spectrum techniques for few communication channels” 06 30 2020 879 881 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5797.069820 https://www.ijitee.org/portfolio-item/G5797059720/ Student, Department of Computer vision, Faculty of Sciences and Techniques, Mohammedia (FSTM) of UH2C (University Hassan II - Casablanca) – Morocco. Hicham Hassnaoui* Aicha Sahel Professor, Department of Electronics and Image Processing, Faculty of Sciences and Techniques of Mohammedia), of UH2C (University Hassan II - Casablanca) – Morocco Abdelmajid Badri Professor, Department of Electrical Engineering, University of Hassan II of Casablanca. Computer vision algorithms, especially real-time tasks, require intensive computation and reduced time. That’s why many algorithms are developed for interest point detection and description. For instance, SURF (Speeded Up Robust Feature) is extensively adopted in tracking or detecting forms and objects. SURF algorithm remains complex and massive in term of computation. So, it’s a challenge for real time usage on CPU. In this paper we propose a fast SURF parallel computation algorithm designed for Graphics-Processing-Unit (GPU). We describe different states of the algorithm in detail, using several optimizations. Our method can improve significantly the original application by reducing the computation time. Thus, it presents a good performance for real-time processing. 06 30 2020 389 393 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5855.069820 https://www.ijitee.org/portfolio-item/G5855059720/ Department of Computer Science & Engineering, Rajalakshmi Engineering College ,Chennai, Tamil Nadu, India. Ms. Sherine Glory J* Ms. Bhavani Department of Computer Science & Engineering, Rajalakshmi Engineering College ,Chennai, Tamil Nadu, India. Baarath S Department of Computer Science & Engineering, Rajalakshmi Engineering College ,Chennai, Tamil Nadu, India. Adarsh N Department of Computer Science & Engineering, Rajalakshmi Engineering College ,Chennai, Tamil Nadu, India. Ajay Durai V Department of Computer Science & Engineering, Rajalakshmi Engineering College ,Chennai, Tamil Nadu, India. The most unpredictable and difficult terrain in the field of medical diagnosis is dermatology. Dermatological diseases are the most prevalent diseases that one out of three men suffer skin disorder. Regardless of being prevalent , diagnosis of these diseases require more experience in domain. About 90 percent of skin disorders can be cured by primary care. This conveys that the early care for the disease is necessary . This early stage detection can be made easier by computer aided diagnosis system. Diagnostic expert-based computer systems that simulate the diagnostic ability of human body and disease. So we propose Expert system which classify skin diseases based on their appearance and its characteristics. Rather than training every diseases in single image classifier model . We categorize skin disease based on their characteristic and train model separately for each category. This system will filter and cleans data and categorize based on their characteristics. Feature extraction and classification using complex methods such as the convolutional neural network(CNN) and softmax classifier. This system will provide more accuracy , fast and efficient result than traditional method. 06 30 2020 9 12 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5862.069820 https://www.ijitee.org/portfolio-item/G5862059720/ Department of Electronics Engineering, Government College of Engineering Amravati, Amravati, Maharashtra. Deoyani Mujbaile* Dinesh Rojatkar Department of Electronics Engineering, Government College of Engineering Amravati, Amravati, Maharashtra. The quality of image captured in presence of fog and haze is degraded due to atmospheric scattering. In order to restore such images, several dehazing algorithms have been proposed. These algorithms sometimes, results in either a contrast distorted dehazed image or a dehazed image that has influence of dense haze. In order to solve this problem, dynamic facsimile dehaze system built on minimum white balance optimization is proposed. This paper proposed a system that integrates some famous single image dehazing algorithms and enhance their outputs using histograms and adaptive histograms; then adaptively select the output with minimum white balance distortion in order to get the optimum output. Experimental results demonstrated that the presented system can attain better dehazing effect and further improves universality of dehazing methods. Also proposed system improves luminance and contrast of dehazed images to a certain extent. 06 30 2020 13 19 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5873.069820 https://www.ijitee.org/portfolio-item/G5873059720/ Assistant Professor, Department of Computer Science & Engineering, Rajalakshmi Engineering College, Chennai, India. Ms. M. Bhavani* Ms. Sherine Glory Assistant Professor, Department of Computer Science & Engineering, Rajalakshmi Engineering College, Chennai, India. Ms. Pavithra Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, India. Mr. R. Monesh Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, India. Cancer is becoming one of the common diseases in day today life, identifying it in a prior stage is still difficult. Identification of environmental and genetic factors is necessary to predict the cancer. We developed a cancer prediction system to predict lung and oral cancer based on the symptoms. The gathered data is pre-processed and the data mining algorithm such as decision tree, logistic regression, Random Forest and Support Vector machines are used to measure the performance. The attribute selection algorithms are used to obtain the mandatory attributes. The main aim of this system is to predict the type of cancer and the suggested therapy using random forest algorithm. 06 30 2020 394 397 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5876.069820 https://www.ijitee.org/portfolio-item/G5876059720/ Professor, Dept. of Computer Science and Engineering, Mahatma Gandhi Institute of Technology, Hyderabad, India. Dr. M. Rama Bai Ms G. Meghana* Computer Science & Engineering department, Mahatma Gandhi Institute of Technology, Hyderabad, India. Early recognition of tumor would assist in saving an enormous number of lives over the globe frequently. Study and remedy of lung tumor have been one of the greatest troubles faced by humans over the latest few decades. Effective recognition of lung tumor is a vital and crucial aspect of image processing. Several Segmentation methods were used to detect lung tumor at an early stage. An approach is presented in this paper to diagnose lung tumor from CT scan images. The input image (CT scan image) will be preprocessed initially using median filter to remove the noise. After applying preprocessing technique, the Dual-Tree Complex Wavelet Transform (DTCWT) segmentation technique is used for the edge detection. The Gray-Level Co-occurrence Matrix (GLCM) features are calculated based on the pixel values of the extracted image. These features can be compared with database images using Convolutional Neural Network (CNN) which facilitates in categorizing it as tumorous. After confirming that the affected area is tumorous, watershed segmentation algorithm is used to get the color features of the tumor. 06 30 2020 20 24 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5885.069820 https://www.ijitee.org/portfolio-item/G5885059720/ Masters in Engineering, Department of Civil Engineering , Jspm’s Imperial College of Engineering & Research, Pune, Maharashtra, India. Sachin Ramesh Bhure* Prof. A. A. Warudkar Masters in Engineering, Department of Civil Engineering , Jspm’s Imperial College of Engineering & Research, Pune, Maharashtra, India. Transportation problem is considered a vitally important aspect that has been studied in a wide range of operations including research domains. As such, it has been used in simulation of several real life problems. The transportation model is for the optimization of routes, cost and travelling of peoples with the help of public transport buses from the source to the destination by road. The data is collected which includes number of trips per day, cost of trips per trip ,distance between source and destination etc. manually through the questionery interview with the conductors drivers and the regular travelling peoples travelling on that route as well as data collection from PMPML office and calculation for minimizing the transportation cost have been done. The result of the research with proper scheduling, proper routing of buses can save Rs. 48865.875 in a 1 day. The saving of the transportation cost increases the profit of the PMPML. The total saving amount profit percentage is about 18.15% increase from saving transportation cost. The parameters as discussed above are considered and collected manually with the help of survey sheet and transportation model is prepared and after that calculation for minimizing the transportation cost have been done. The methods used for minimization of transportation of cost are Northwest corner method, Least count method etc. The result of the research gives with proper scheduling, routing of buses can save generate so much of revenue with saving of cost.. The amount saved from the transportation cost is utilized for increase the facilities in bus such as A.C, Automatic door system, Air suspension, Good quality of seats etc. 06 30 2020 25 28 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5888.069820 https://www.ijitee.org/portfolio-item/G5888059720/ Dept. of CSE, Chaitanya Bharathi Institute of Technology, Hyderabad, K. Spandana* Suresh Pabboju Dept. of IT, Chaitanya Bharathi Institute of Technology, Hyderabad, Likhitha Chinthakuntla Dept. of CSE, Chaitanya Bharathi Institute of Technology, Hyderabad Gorupally Sai Chandana Dept. of CSE, Chaitanya Bharathi Institute of Technology, Hyderabad IoT, a sensation in modern-day technology, has a major impact on the rapidly growing technological aspects. It’s making people’s life easier and also enabling us to do things that were previously seen as miracles. It helps in solving many complex real-time problems. One such major application in the field of agriculture can turn out to be productive and profitable. This paper explains a variety of techniques infusing IoT in agriculture, that helps in productive and predictive results in that field, thereby leading towards precision agriculture. A low-cost power supply and unambiguous farming can be possible with using IoT system. Wireless Sensor Networks (WSN) in which sensor nodes learn and adopt over the sensing time, gives simplicity, low energy usage. This is aimed to be deployed on a large scale by predicting using big data techniques from centralized data analysis. 06 30 2020 882 886 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5904.069820 https://www.ijitee.org/portfolio-item/G5904059720/ Department of Civil Engineering, Sri Krishna College of Technology, Coimbatore, India Selina Ruby. G* Dinesh. S Department of Civil Engineering, Sri Krishna College of Technology, Coimbatore, India Bharath Raj.P Department of Civil Engineering, Sri Krishna College of Technology, Coimbatore, India Kishorenandha. S Department of Civil Engineering, Sri Krishna College of Technology, Coimbatore, India In an attempt to renovate waste product into constructive material for the building purpose, this research considered the use of corn cob ash (CCA) as a partial replacement of cement. Hence, in this research, we have proposed an eco-friendly solution by investigating the utilization of corncob ash with 0, 5, 10 and 15% replacement for cement in M30 grade of concrete Mechanical Properties such as compressive strength, Split tensile strength and Flexural strength at 7,14,28 days are examined in laboratory. The results reveal that Corn Cob Ash can be used as a partial replacement for cement which in turn reduces the emission of greenhouse gases. 06 30 2020 210 212 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5909.069820 https://www.ijitee.org/portfolio-item/G5909059720/ Assistant Professor, Sri Chandra Sekharendra Saraswathi Viswa Maha Vidhyalaya, Kanchipuram, India. S. E. Viswapriya* Durbaka Sandeep Sharma Sri Chandra Sekharendra Saraswathi Viswa Maha Vidhyalaya, Kanchipuram Gandavarapu Sathya Kiran Sri Chandra Sekharendra Saraswathi Viswa Maha Vidhyalaya, Kanchipuram The prediction of price for a vehicle has been more popular in research area, and it needs predominant effort and information about the experts of this particular field. The number of different attributes is measured and also it has been considerable to predict the result in more reliable and accurate. To find the price of used vehicles a well defined model has been developed with the help of three machine learning techniques such as Artificial Neural Network, Support Vector Machine and Random Forest. These techniques were used not on the individual items but for the whole group of data items. This data group has been taken from some web portal and that same has been used for the prediction. The data must be collected using web scraper that was written in PHP programming language. Distinct machine learning algorithms of varying performances had been compared to get the best result of the given data set. The final prediction model was integrated into Java application. 06 30 2020 398 401 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5915.069820 https://www.ijitee.org/portfolio-item/G5915059720/ Ph.D, Professor,Dept .of CSE ,Chadalawada Ramanamma Engg.College(Autonomous) Tiruapthi,Chittoor (Dist), Andhra Pradesh, Inadia. Dr. S. THULASEEKRISHNA* Mr. K. NAGENDRA RAO Associate Professor, Dept.of.CSE, Chadalawada Ramanamma Engg.College(Autonomous) Tiruapthi,Chittoor (Dist), Andhra Pradesh, Inadia. Mrs. P. POORNIMA Assistant Professor , Dept.of CSE, Chadalawada Ramanamma Engg.College(Autonomous) Tiruapthi,Chittoor (Dist), Andhra Pradesh, Inadia. The smart city proposed by government is providing better infrastructure with possible automated device. Every smart city proposes to provide smart transport through automated traffic management .The peak hours face the congestion road and many traffic irregularities. The congested road aids in poor Travel experience, environmental pollution and health hazards by vehicular fuel. The solution to aforesaid issues leads to traffic Automation in urban communities. To implement the traffic automation need access to real time traffic congestion information, best possible route and alternate strategy with online traffic information applicable to specific traffic stream. An more suitable site visitors manipulate and MF has been mentioned to finish short information transmission and their corresponding motion performed via artificial intelligence. The VANET scenario, congestion manage algorithm executed through mobile agent controller uniformly organizes the traffic glide by way of heading off the congestion at the smart visitors zone ,The law-enforcement bodies ,the fire opponents and the clinical and/or paramedical teams consciousness on elevated quantity of crime in addition to lifestyles losses through site visitors irregularities. The benefits of adopting the internet of things(iot)provide a new prospect for intelligent site visitors improvement. 06 30 2020 1015 1018 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5916.069820 https://www.ijitee.org/portfolio-item/G5916059720/ Department of Electronics and Telecommunications, University Abdelmalek Essaadi, Tetouan, Morocco. Said Elkhaldi* Mahmoud Moubadir Department of Electronics and Telecommunications, University Abdelmalek Essaadi, Tetouan, Morocco. Naima Amar Touhami Associate professor, Department of Electronics and Telecommunications, University Abdelmalek Essaadi, Tetouan, Morocco. Taj-Eddin Elhamadi Department of Electronics and Telecommunications, University Abdelmalek Essaadi, Tetouan, Morocco Mohamed Aghoutane Associate Professor, Department of Electronics and Telecommunications, University Abdelmalek Essaadi, Tetouan, Morocco. This article presents the analysis and design of a circuit to generate 3rd- order intermodulation (IM3) products for a GaN 10W Class AB power amplifiers (PA), The intermodulation products can’t be eliminated by filters. So, it’s a critical problem to resolve in RF systems. The circuit has been studied using a two-tone signal at a center frequency of 3.7 GHz. The two tones test is applied to make a large signal analysis of the RF power amplifier. For this paper, the two frequencies are at (3.7 0.005) GHz. The (C/I) ratio, is chosen to investigate the power amplifier non-linearity, and due to various causes, upper_C/I and lower_C/I, can be distinct. 06 30 2020 887 890 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5924.069820 https://www.ijitee.org/portfolio-item/G5924059720/ Assistant Professor, Department of Electronics and Communication Engineering, Bapatla Women’s Engineering College, Bapatla, Andhra Pradesh, India. Suneetha Emmela* K Bhavani Student, Department of Electronics and Communication Engineering, Bapatla Women’s Engineering College, Bapatla, Andhra Pradesh, India. K Gowthami Student, Department of Electronics and Communication Engineering, Bapatla Women’s Engineering College, Bapatla, Andhra Pradesh, India. M Sandhya Rani Student, Department of Electronics and Communication Engineering, Bapatla Women’s Engineering College, Bapatla, Andhra Pradesh, India. B Deepika Student, Department of Electronics and Communication Engineering, Bapatla Women’s Engineering College, Bapatla, Andhra Pradesh, India. The measure of accidents happening in India are developing a tiny bit at a time. Crisis reaction time is inconceivably major, when it fuses occasions, for example, vehicle episodes. Most of the human lives are being lost thinking about road troubles. Quantifiable Analysis shows that in the event that we rot only 1-minute in mishap reaction time that can develop odds of sparing a person's life up to 6percent. Among all the occurrence cases, some can be constrained by taking certain preventive measures and some can be spared by giving a concise data to the misfortune's family. This work region work helps the misfortunes by giving some concise ramifications to their particular relatives furthermore perceives the guideline driver of the mishap. That is, either the disaster is intoxicated or fire setback has occurred, and so on. In like manner the proposed framework gives the constant zone following. 06 30 2020 851 854 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5928.069820 https://www.ijitee.org/portfolio-item/G5928059720/ Department of Computer Engineering and Networks, College of Computer and Information Sciences, Sakaka, Saudi Arabia. Slim Dhahri* Essia Ben Alaïa Department of Computer Science, College of Computer and Information Sciences, Sakaka, Saudi Arabia. In this paper, the problems of fault estimation and fault-tolerant control for Takagi-Sugeno fuzzy system affected by simultaneous actuator faults, sensor faults and external disturbances are investigated. Firstly, an adaptive fuzzy sliding-mode observer is designed to simultaneously estimate system states and both actuator and sensor faults. Then, based on the online estimation information, a static output feedback fault-tolerant controller is designed to compensate for the effect of faults and to stabilize the closed-loop system. Moreover, sufficient conditions for the existence of the proposed observer and controller with an H∞ performance are derived based on Lyapunov stability theory and expressed in terms of linear matrix inequalities. Finally, a nonlinear inverted pendulum with cart system application is given illustrate the validity of the proposed method. 06 30 2020 145 156 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G6005.069820 https://www.ijitee.org/portfolio-item/G6005059720/ Computer Science and Engineering, Noorul Islam University, Nagercoil, India. M. Anugraha* Dr.S.H. Krishnaveni Computer Science and Engineering, Baselios Mathews II College of Engineering, Kollam, India. Mobile Ad hoc Network is an assortment of free hubs that can convey one another. These hubs are self-composed hub, which doesn't have any fixed framework like base station, radio wires, and so forth. The hubs with in its range can have an immediate correspondence if not it utilizes a moderate hub for transmitting the information. Each node will act as both host and router. The nodes can join or leave the network anytime and makes the network topology. Network topology is dynamic in nature. Because of the dynamic behavior the detection of trust value is difficult for intermediary node. Trust should be managed in the network ie., the network has different behaviors like malicious, selfishness, unhealthiness, etc., due to these behaviors the trust of an intermediary node is difficult to calculate. Right now safe routing is performed by the improvement of convention which yields the minimization of trust inclination and boosts the application execution. This study compares different trust management framework and compare the trust level based on the metrics and outlines the issues and future ideas. 06 30 2020 431 439 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6103.069820 https://www.ijitee.org/portfolio-item/H6103069820/ Assistant professor, Koneru Lakshmaiah Educational Foundation, Guntur, India. HariKrishna Pydi* Allu Venkata Dattatreya Reddy Student, Koneru Lakshmaiah Educational Foundation, Guntur, India. Chowdavarapu Jeevan Rupesh Student, Koneru Lakshmaiah Educational Foundation, Guntur, India Pothugunta Chandana Student, Koneru Lakshmaiah Educational Foundation, Guntur, India Chittamuru Bharath Student, Koneru Lakshmaiah Educational Foundation, Guntur, India Over the years usage of computational devices have been increased rapidly. 3G and 4G network evolution has helped in seamless usage of the modern devices. As the users are increasing rapidly and 4G spectrum is been congested way too fast. These situations resulted in development of 5G Spectrum by unlocking the millimetre waves. Milli meter Waves are originally shortrange waves and cannot be passed through heavy objects for these solution Small Base station concept has been implemented which provides high coverage and less latency while using. A small cell is basically a miniature base station that breaks up a cell site into much smaller pieces, and is a term that encompasses pico cells, micro cells, femto cells and can comprise of indoor/outdoor systems. For this implementation the SDN plays an important role for maintaining the connection between Base stations. Penguin foraging behaviour can be taken as a reference for the search algorithm in edge computing for getting faster results. Usually a penguin population comprises of several groups. Each group contains a number of penguins that varies depending on food availability in the corresponding foraging region. They feed as a team and follow their local guide which has fed on most food in the last dive. Similarly we follow the same process in small cell base station. Edge computing supports all devices simultaneous for processing and getting accurate results. They can be used for platform development for storage centric, server centric or even hybrid(storage-server) workloads. Related words: Edge computing, Software Defined Network, foraging behaviour, small cell base stations, Milli meter waves 06 30 2020 34 37 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6113.069820 https://www.ijitee.org/portfolio-item/H6113069820/ Assistant Professor.Department of Computer Engineering, Pimpri Chinchwad College of Engineering & Research, Ravet, India. Anuja Bhondve* Shweta Koparde Assistant Professor.Department of Computer Engineering, Pimpri Chinchwad College of Engineering & Research, Ravet, India. Vaishali Latke Assistant Professor.Department of Computer Engineering, Pimpri Chinchwad College of Engineering & Research, Ravet, India. In this article, we propose a reversible method for hiding data, in which the original image and hidden data can be restored on the receiving side. The owner encrypts the original image using an encryption key to protect the privacy of the image content. Each block of encrypted image is added to the little secret by Hider data using the key data hiding. Data hiding process causes only a small change in each partial pixel flip block, which improves decoded image visual quality. The image can be easily decoded receiver using the key, data encryption key to hide the adaptive soft characteristic of the evaluation function along the direction of the isophote, the secret data can be extracted from a decoded image and original image recovery can be restored more successfully. 06 30 2020 155 160 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6115.069820 https://www.ijitee.org/portfolio-item/H6115069820/ Assistant Professor, Department of Computer Science, Vidyasagar University, Midnapore, India Priyajit Sen* Monish Mukul Das Department of Computer Science and Engineering, University of Kalyani, Kalyani, India, Debabrata Sarddar Assistant Professor, Department of Computer Science and Engineering, University of Kalyani, Kalyani, India Rajat Pandit Assistant Professor, Department of Computer Science, West Bengal State University, Barasat, Kolkata, India, LEO satellites play an important role in global communication system. LEO satellites have some advantages over GEO and MEO satellites, in respect of power requirement, end-to-end delay & more efficient frequency spectrum. But the main problem of LEO satellite, is that they have large relative speed than the speed of mobile nodes (MN) and earth, so that the handover occurrence is more. As a result, the call blocking probability (Pb) and force call termination probability (Pf) is higher. To overcome this problem, Billboard manager based handover (BMBHO) was introduced to reduce the scanning time significantly and also to reduce the Pf. But the main problem of single billboard manager (BM) is that, since all handover requests have to be processed from a single point. In this paper, we have proposed the concept of multi-billboard manager based handover (MBMHO) method to resolve this problem. Thus, handover request will be served more efficiently so that both Pb and Pf are minimized than the BMBHO method. 06 30 2020 38 40 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6119.069820 https://www.ijitee.org/portfolio-item/H6119069820/ Computer Science and Engineering, Madhav Institute of Technology and Science, Gwalior, India. Vanshita Pansari* Amit Kumar Manjhvar Computer Science and Engineering department, Samrat Ashok Technological Institute (SATI), Vidisha, India. It is significant to create electronicon stream markets,on stream communication networks, peer-to-peer functions, social media providerson stream and convenience customers. In reality, web based amenities are specially designed to overcome the risk of uncertainties & distrust inherent in the main concern of ecommerce applications & to increase the robustness of the system& resistance against fake clients & unbelievers. The aim of the Ecommerce platform is, moreover, to embrace one of the most efficient methods for understanding and evaluating user attempts to expose fraudsters. Or else, the fundamental objective of ecommerce amenities to exploit the profit & purchase rate, will be endangered & deteriorated through fake and ill-intentioned users. Individuals and organizations need to detect fake Comments. With disappointing and hidden features, it is difficult to identify counterfeit Comments simply by looking at a single Comments text. It is also why it is a difficult task to identify falsified Comments.This paper uses the sentiment anatomy (SA) tool for the identification of fake Comments to analyzeon stream film Comments. The texts and the SA system are used for a specific dataset of film Comments. We particularly compared the supervised SVM & SMO machine-learning process with the feeling classification methods of the analyzes in two different cases, without stopping phrases. Measured outcomes display that SMO process compared to the SVM process for both methodes, &it arrives at the maximum precision not only in the classification of text but also for finding duplicate analyses. 06 30 2020 41 46 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6137.069820 https://www.ijitee.org/portfolio-item/H6137069820/ Assistant Professor, Department of Computer Science, Godutai Engineering College for Women, VTU, Kalaburgi, India. Jyoti Neginal* Dr. Ruksar Fatima Vice principal, Department of Computer Science, KBN college of Engineering, VTU, Kalaburgi, India. Digital media emergence has taken the world by storm, further with the growth of digital media also causes the high risk of security and it needs to be addressed. Data security is protecting the data, normally data protecting is parted into two category i.e. cryptography and stenography. Steganography provides the high-level security by hiding one data under the other; the data can be image, text or any other formats, image steganography is one of the highly research area and several researcher have proposed different technique. The main challenge in image steganography is to innocuous image without any suspicion, furthermore the existing steganography focuses only on minimizing the distortion function. In this paper, we aim to develop an adaptive steganography technique named DIDC, which is basically based on the DPEs that approaching the rate transformation bound under the Steganography algorithm. Furthermore, the DIDC is evaluated by considering the two feature set SRM and max SRMd2 and error detection rate as the parameter, the comparison analysis shows that DIDC model outperforms not only state-of-art but also existing NFM model. Further, we also plot the AUC and the observation suggest the remarkable result. 06 30 2020 47 55 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6138.069820 https://www.ijitee.org/portfolio-item/H6138069820/ Asst. Prof, Dr. AIT, Bangalore, India. Nayana R Shenoy* Dr. Anand Jatti Associate Professor, RVCE, Bangalore, India. Thyroid nodules are considered as most common disease found in adults and thyroid cancer has increased over the years rapidly. Further automatic segmentation for ultrasound image is quite difficult due to the image poor quality, hence several researcher have focused and observed that U-Net achieves significant performance in medical image segmentation. However U-net faces the problem of low resolution which causes smoothness in image, hence in this research work we have proposed improvised U-Net which helps in achieving the better performance. The main aim of this research work is to achieve the probable Region of Interest through segmentation with better efficiency. In order to achieve that Improvised U-Net develops two distinctive feature map i.e. High level feature Map and low level feature map to avoid the problem of low resolution. Further proposed model is evaluated considering the standard dataset based on performance metrics such as Dice Coefficient and True positive Rate. Moreover our model achieves better performance than the existing model. 06 30 2020 56 60 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6142.069820 https://www.ijitee.org/portfolio-item/H6142069820/ Department of Industrial Engineering, Tecnológico Nacional de México / Instituto Tecnológico de Colima. Pedro Itzván Silva Medina* Johann Mejías Brito Department of Electrical and Electronic Engineering, Tecnológico Nacional de México / Instituto Tecnológico de Colima. Jesús F. Tejeda Castrejón Department of Industrial Engineering, Tecnológico Nacional de México / Instituto Tecnológico de Colima. Claudia Lissete Castrejón Cerro Department of Industrial Engineering, Tecnológico Nacional de México / Instituto Tecnológico de Colima. Olimpo Lúa Madrigal Department of Electrical and Electronic Engineering, Tecnológico Nacional de México / Instituto Tecnológico de Colima. In the present work, a study is carried out on companies in the state of Colima with the purpose of compiling the characteristics that must be contained in a computer tool capable of facilitating the administration of industrial safety. With the design characteristics detected, it is intended to establish the basis for an automation proposal that benefits Micro, Small & Medium Enterprises with a tool tailored to the normative, procedural and operational reality of the Mexican environment, so that its extrapolation to the rest of the country is totally feasible since the regulatory framework of reference is federal and the legal implications to which its application impacts apply throughout the national territory. 06 30 2020 61 65 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6150.069820 https://www.ijitee.org/portfolio-item/H6150069820/ Information Technology, Galgotias College of Engineering and Technology, Greater Noida, India. Shefali Jumnani* Shraddha Agrawal Information Technology, Galgotias College of Engineering and Technology, Greater Noida, India. Samiksha Verma Information Technology, Galgotias College of Engineering and Technology, Greater Noida, India. Swasti Singhal Information Technology, Galgotias College of Engineering and Technology, Greater Noida, India. In this paper, we present a brief survey of usage of various machine learning models and their role in retail sales forecasts. The purpose of this paper is to enlist a few popular approaches in retail sales and study their scope and areas of application. We analyze how these models have evolved over time stating the significance of each model in brief. 06 30 2020 66 69 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6159.069820 https://www.ijitee.org/portfolio-item/H6159069820/ Research scholar, G. H. Raisoni College of Engineering and Management, Pune, Assistant Professor in RMD Sinhgad School of Engineering, Pune, India. Ms. Rupali A. Patil* Dr. V. V. Dixit Director, RMD Sinhgad Technical Institutes Campus, Warje, Pune, India. The greatest reason for ladies' demise on the planet today is Breast malignant growth. For bosom malignancy location and order advance building of picture arrangement and AI techniques has to a great extent been utilized. The involvement of mammogram classification saves the doctor’s and physician’s time. Aside from the different research on bosom picture characterization, not very many survey papers are accessible which gives a point by point depiction of bosom disease picture grouping methods, highlight extraction and choice techniques, order estimating parameterizations, and picture arrangement discoveries. In this paper we have focused on the survey of Convolutional Neural Network (CNN) methods for breast image classification in multiview features. In this review paper we have different techniques for classification along with their results and limitations for future research. 06 30 2020 891 895 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6160.069820 https://www.ijitee.org/portfolio-item/H6160069820/ Post Graduate, Department of Civil Engineering, Sri Krishna College of Technology, Coimbatore, India. Janarthanan R* Dr.Sree Vidya V* Associate Professor, Department of Civil Engineering, Sri Krishna College of Technology, Coimbatore, India. Cement is probably the mostly widely used construction material in the world. However, the production of cement releases CO2 into the air. Greenhouse effect is mainly caused by carbon- di-oxide. Hence, there is a need to develop sustainable alternatives to Portland cement. One of the suitable alternatives is usage of Geo-Polymer Concrete (GPC) which is made from utilization of waste materials like fly ash and ground granulated blast furnace slag (GGBS) with suitable alkali activators. In general, chemical admixtures are added to get concrete with increased strength. The chemical admixtures for increasing the strength are not easily accessible in rural areas. The fresh and hardened properties of concrete are improved by using magnetic water. The scaling and corrosion are greatly reduced using magnetic water. It is due to the change in microstructure of water molecules making it soft water. Further, recycled coarse aggregate was used with coarse aggregate in the study. The specimens were cast and were investigated for Compressive strength, Split Tensile strength and Flexural strength test after 7 days and 28 days of ambient curing. It was observed that Compressive, Split Tensile and Flexural strength of the GPC specimen with magnetic water increased compared to other mix proportions. 06 30 2020 161 165 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6174.069820 https://www.ijitee.org/portfolio-item/H6174069820/